检索结果-内蒙古大学图书馆

IntML-KNN: A Few-Shot Radio Frequency Fingerprint Identification Scheme for Lora Devices

IEEE Signal Processing Letters 2025年 32卷 2259-2263页

作者： Cao, Xin Tan, Weijie Gao, Qiangqiang Hu, Zhilong Li, Chunguo Guizhou University College of Computer Science and Technology Guiyang550025 China Guizhou University State Key Laboratory of Public Big Data College of Computer Science and Technology Guiyang550025 China Advanced Cryptography and System Security Key Laboratory of Sichuan Province Chengdu610025 China Ministry of Industry and Information Technology Laboratory of Cryptograph Application Technology Innovation and Testing Verification Beijing100015 China Southeast University School of Information Science and Engineering Nanjing210096 China

Deep learning (DL) is widely used in radio frequency fingerprint identification (RFFI). However, in few-shot case, traditional DL-based RFFI need to construct auxiliary dataset to realize radio frequency fingerprint identification. To address this issue, we propose a few-shot RFFI (FS-RFFI) method based on interpolating metric learning and KNN (IntML-KNN). Specifically, the method first extends the dataset with data augmentation, and CutMix interpolation. Secondly, combining with metric learning to enhance the generalization capacity of the model. Finally, KNN algorithm is designed to realize device classification and detection. The proposed IntML-KNN method is verified on the commercial available LoRa dataset. The experimental results indicate that the proposed scheme exhibits strong classification and generalization performance in FS-RFFI. Meanwhile, the recognition rate of the proposed IntML-KNN reaches 97.00% with only 10% samples. © 1994-2012 IEEE.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Cooperative Classification and Rationalization for Graph Generalization 24

Cooperative Classification and Rationalization for Graph Gen...

引用

33rd ACM Web Conference, WWW 2024

作者： Yue, Linan Liu, Qi Liu, Ye Gao, Weibo Yao, Fangzhou Li, Wenfeng Anhui Province Key Laboratory of Big Data Analysis and Application University of Science and Technology of China State Key Laboratory of Cognitive Intelligence University of Science and Technology of China Hefei China Douyin Vision Co. Ltd Beijing China

ISBN: (纸本)9798400701719

Graph Neural Networks (GNNs) have achieved impressive results in graph classification tasks, but they struggle to generalize effectively when faced with out-of-distribution (OOD) data. Several approaches have been proposed to address this problem. Among them, one solution is to diversify training distributions in vanilla classification by modifying the data environment, yet accessing the environment information is complex. Besides, another promising approach involves rationalization, extracting invariant rationales for predictions. However, extracting rationales is difficult due to limited learning signals, resulting in less accurate rationales and diminished predictions. To address these challenges, in this paper, we propose a Cooperative Classification and Rationalization (C2R) method, consisting of theclassification and therationalization module. Specifically, we first assume that multiple environments are available in theclassification module. Then, we introduce diverse training distributions using an environment-conditional generative network, enabling robust graph representations. Meanwhile, therationalization module employs a separator to identify relevant rationale subgraphs while the remaining non-rationale subgraphs are de-correlated with labels. Next, we align graph representations from theclassification module with rationale subgraph representations using the knowledge distillation methods, enhancing the learning signal for rationales. Finally, we infer multiple environments by gathering non-rationale representations and incorporate them into theclassification module for cooperative learning. Extensive experimental results on both benchmarks and synthetic datasets demonstrate the effectiveness of C2R. Code is available at https://***/yuelinan/Codes-of-C2R. © 2024 ACM.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

A review of the mechanical integrity and electrochemical performance of flexible lithium-ion batteries

引用

Nano Research 2023年第12期16卷 12962-12982页

作者： Ahmad Shokrieh Amir Hossein Mirzaei Lijuan Mao Mahmood M.Shokrieh Zhixiang Wei CAS Key Laboratory of Nanosystem and Hierarchical Fabrication National Center for Nanoscience and TechnologyBeijing 100190China Composites Research Laboratory Center of Excellence in Experimental Solid Mechanics and DynamicsSchool of Mechanical EngineeringIran University of Science and TechnologyTehran 16846-13114Iran University of Chinese Academy of Sciences Beijing 100049China

In the past two decades,various research works have been conducted in the field of flexible electronic devices(FEDs).Researchers have focused their efforts on solving the existing challenges in the electronic,electrochemical,and mechanical behaviors of *** importance of flexible lithium-ion batteries(FLIBs)in the area of FEDs is evident;however,less attention has been paid to the mechanical behavior of FLIBs in comparison with the material and electrochemical *** present paper reviewed the research works in the FLIBs,focusing on their mechanical integrity and electrochemical ***,an introduction to FLIBs was presented,and the previous review papers published in this field were briefly ***,a detailed review of the available electrochemical and mechanical research works on FLIBs was ***,the mechanical testing methods(tensile,compressive,indentation,fatigue,and adhesion)for the characterization of FLIBs’components,the research works on the simulation and modeling of the mechanical behavior of FLIBs,and a summary of the present situation and the future trend of research in this field were reviewed and presented.

关键词： flexible devices electrochemical performance mechanical integrity testing methods simulation and modeling.

来源：评论

学校读者我要写书评

暂无评论

A subpopulation of CD146^(+) macrophages enhances antitumor immunity by activating the NLRP3 inflammasome

引用

Cellular & Molecular Immunology 2023年第8期20卷 908-923页

作者： Lin Jing Yunhe An Tanxi Cai Jianquan Xiang Baoming Li Jiang Guo Xinran Ma Ling Wei Yanjie Tian Xiaoyan Cheng Xuehui Chen Zheng Liu Jing Feng Fuquan Yang Xiyun Yan Hongxia Duan Key Laboratory of Protein and Peptide Pharmaceutical Institute of BiophysicsChinese Academy of SciencesBejing 100101China Institute of Analysis and Testing Beijing Academy of Science and Technology(Bejing Center for Physical and Chemical Analysis)No.7 Fengxian Middle StreetHaidian DistrictBeijing 100094China Sino-Danish College University of Chinese Academy of SciencesBeijing100049China Laboratory of Proteomics Institute of BiophysicsChinese Academy of SciencesBeijingChina College of Life Sciences University of Chinese Academy of SciencesBeijing100049China Department of Interventional Oncology Beijing Ditan HospitalCapital Medical UniversityNo.8 Jingshun East StreetChaoyang DistrictBeijing100015China Joint Laboratory of Nanozymes in Zhengzhou University School of Basic Medical SciencesZhengzhou UniversityZhengzhou450001China

As one of the main tumor-infiltrating immune cell types, tumor-associated macrophages (TAMs) determine the efficacy of immunotherapy. However, limited knowledge about their phenotypically and functionally heterogeneous nature restricts their application in tumor immunotherapy. In this study, we identified a subpopulation of CD146+ TAMs that exerted antitumor activity in both human samples and animal models. CD146 expression in TAMs was negatively controlled by STAT3 signaling. Reducing this population of TAMs promoted tumor development by facilitating myeloid-derived suppressor cell recruitment via activation of JNK signaling. Interestingly, CD146 was involved in the NLRP3 inflammasome-mediated activation of macrophages in the tumor microenvironment, partially by inhibiting transmembrane protein 176B (TMEM176B), an immunoregulatory cation channel. Treatment with a TMEM176B inhibitor enhanced the antitumor activity of CD146+ TAMs. These data reveal a crucial antitumor role of CD146+ TAMs and highlight the promising immunotherapeutic approach of inhibiting CD146 and TMEM176B.

关键词： Tumor-associated macrophages CD146 Inflammasome TMEM176B Tumor immunotherapy

来源：评论

学校读者我要写书评

暂无评论

A Time-series Prediction Algorithm Based on a Hybrid Model

引用

Recent Advances in Computer science and Communications 2023年第1期16卷 3-17页

作者： Cao, Danyang Ma, Jinfeng Sun, Ling Ma, Nan School of Information Science and Technology North China University of Technology Beijing100144 China Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data Beijing100144 China National Satellite Meteorological Center Beijing100081 China Key Laboratory of Radiometric Calibration and Validation for Environmental Satellite Beijing100081 China College of Robotics Beijing Union University Beijing100101 China

Background: In reality, time series is composed of several basic components, which have linear, nonlinear and non-stationary characteristics at the same time. Directly using a single model will show some limitations and the prediction accuracy is difficult to improve. Methods: We propose a mixed forecasting model based on time series decomposition, namely STL-EEMD-LSTM model. First, we use STL filtering algorithm to decompose the time series to obtain the trend component, seasonal component and the remainder component of the time series;then we use EEMD to decompose the seasonal component and the remainder component to obtain multiple sub-sequences. After this, we reconstruct the new seasonal component and the remainder component according to the fluctuation frequency of the sub-sequence. Finally, we use LSTM to build a prediction model for each component obtained by decomposition. Results: We applied the proposed model to simulation data and the time series of satellite calibration parameters and found that the hybrid prediction model proposed in this paper has high prediction accuracy. Conclusion: Therefore, we believe that our proposed model is more suitable for the prediction of time series with complex components. © 2023 Bentham science Publishers.

关键词： Time series

来源：评论

学校读者我要写书评

暂无评论

Boosting the hydrogen storage performance of magnesium hydride with metal organic framework-derived Cobalt@Nickel oxide bimetallic catalyst

引用

Chinese Journal of Chemical Engineering 2022年第12期52卷 161-171页

作者： Yan Zhang Jiaguang Zheng Zhiyu Lu Mengchen Song Jiahuan He Fuying Wu Liuting Zhang School of Energy and Power Jiangsu University of Science and TechnologyZhenjiang 212003China Analysis and Testing Center Jiangsu University of Science and TechnologyZhenjiang 212003China State Key Laboratory of Silicon Materials Department of Materials Science and EngineeringZhejiang UniversityHangzhou 310027China

In this study,a MOF-derived bimetallic Co@NiO catalyst was synthesized and doped into MgH_(2)to improve the hydrogen desorption and resorption *** Co@NiO catalyst decreased the onset dehydrogenation temperature of MgH_(2)by 160℃,compared with un-doped MgH_(2).The MgH^(2+)9%(mass)Co@NiO composite released 6.6%(mass)hydrogen in 350 s at 315℃and uptook 5.4%(mass)hydrogen in500 s at 165℃,showing greatly accelerated de/rehydrogenation ***,the desorption activation energy of MgH^(2+)9%(mass)Co@NiO was decreased to(93.8±8.4)kJ·mol^(-1).Noteworthy,symbiotic Mg_(2)NiH_(4)/Mg_(2)CoH_(5)clusters were in-situ formed from bimetallic precursors and inlaid on MgH_(2)surface,which are considered as"multi-step hydrogen pumps",and provides surface pathways for hydrogen ***,the introduced Mg_(2)NiH_(4)/Mg_(2)CoH_(5)interfaces could provide numerous low energy barrier H diffusion channels,therefore accelerating the hydrogen release and *** research proposes new insights to design high-efficiency bimetallic catalyst for MgH_(2)hydrogen storage.

关键词： Hydrogen Absorption Catalyst MgH_(2) Bimetallic materials Synergistic effect

来源：评论

学校读者我要写书评

暂无评论

Deep Combination of CDCl(T) and Local Search for Satisfiability Modulo Non-Linear Integer Arithmetic Theory 24

Deep Combination of CDCl(T) and Local Search for Satisfiabil...

引用

44th ACM/IEEE International Conference on Software Engineering, ICSE 2024

作者： Zhang, Xindi Li, Bohan Cai, Shaowei Institute of Software Chinese Academy of Sciences School of Computer Science and Technology University of Chinese Academy of Sciences State Key Laboratory of Computer Science Beijing China

ISBN: (纸本)9798400702174

Satisfiability Modulo Theory (SMT) generalizes the propositional satisfiability problem (SAT) by extending support for various first-order background theories. In this paper, we focus on the SMT problems in Non-Linear Integer Arithmetic (NIA) theory, referred to as SMT(NIA), which has wide applications in software engineering. The dominant paradigm for SMT(NIA) is the CDCL(T) framework, while recently stochastic local search (SLS) has also shown its effectiveness. However, the cooperation between the two methods has not been studied yet. Motivated by the great success of the deep cooperation of CDCL and SLS for SAT, we propose a two-layer hybrid approach for SMT(NIA). The outer-layer interleaves between the inner-layer and an independent SLS solver. In the inner-layer, we take CDCL(T) as the main body, and design DCL(T)-guided SLS solver, which is invoked at branches corresponding to skeleton solutions and returns useful information to improve the branching heuristics of CDCL(T). We implement our ideas on top of the CDCL(T) tactic of Z3 with an SLS solver called Localsmt, resulting in a hybrid solver dubbed Hv-BRIDSMT. Extensive experiments are carried out on the standard SMT(NIA) benchmarks from SMT-LIB, where most of the instances are from real-world software engineering applications of termination and non-termination analysis. Experiment results show that Hybridsmt significantly improves the CDCL(T) solver in Z3. Moreover, our solver can solve 10.36% more instances than the currently best SMT(NIA) solver, and is more efficient for software verification instances. © 2024 ACM.

关键词： Stochastic systems

来源：评论

学校读者我要写书评

暂无评论

SnS/WSe van der Waals Single-Detector Spectrometer With a Dynamically Selecting Spectral Reconstruction Strategy

IEEE Electron Device Letters

引用

IEEE Electron Device Letters 2025年第5期46卷 801-804页

作者： Zhou, Yang Mu, Haoran Zhang, Congwen Xu, Renjing Zhang, Guangyu Lin, Shenghuang Songshan Lake Materials Laboratory Dongguan523808 China South China Normal University Moe Key Laboratory of Laser Life Science Guangdong Provincial Key Laboratory of Laser Life Science Guangzhou Key Laboratory of Spectral Analysis and Functional Probes College of Biophotonics Guangzhou510631 China The Hong Kong University of Science and Technology Microelectronics Thrust Guangzhou511442 China Institute of Physics Chinese Academy of Science Beijing100190 China

The single-detector spectrometers based on 2D layer van der Waals (vdW) heterojunctions offer advantages in spectral reconstruction due to their high sensitivity, tunable optical properties, and the ability to cover a broad spectral range. There exist two principal algorithms dominating spectrum reconstruction for this kind spectrometer: the Tikhonov regularization method combined with the Least Squares Method (LSM) and neural network-based approaches, particularly Deep Learning (DL). However, both of the algorithms exhibit inherent limitations in spectral reconstruction, which constrain the versatility of computational spectrometers that rely solely on a single algorithm for reconstructing diverse spectral profiles. To overcome this limitation, we introduce an artificial neural network (ANN)-based classification model capable of dynamically selecting the optimal algorithm throughout the reconstruction process. This enables highly accurate spectral reconstruction within the 440-700 nm wavelength range, achieving a spectral resolution of 6 nm. By harnessing the complementary strengths of multiple algorithms, our approach proposes a novel strategy for combining techniques to enhance the precision of spectral reconstructions, laying the groundwork for more sophisticated methods in the future. © 1980-2012 IEEE.

关键词： Van der Waals forces

来源：评论

学校读者我要写书评

暂无评论

Identification of key Genes as Potential Drug Targets for Gastric Cancer

引用

Tsinghua science and technology 2023年第4期28卷 649-664页

作者： Md.Tofazzal Hossain Md.Selim Reza Yin Peng Shengzhong Feng Yanjie Wei Center for High Performance Computing Joint Engineering Research Center for Health Big Data Intelligent Analysis TechnologyShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China School of Computer Science and Technology University of Chinese Academy of SciencesBeijing 100049China Department of Statistics Bangabandhu Sheikh Mujibur Rahman Science and Technology UniversityGopalganj 8100Bangladesh Guangdong Provincial Key Laboratory for Genome Stability and Disease Prevention and Regional Immunity and Diseases Department of PathologyShenzhen UniversityShenzhen 518060China

Gastric cancer(GC)is one of the most common cancers and ranks the third in cancer mortality all over the *** goal of this study was to identify potential hub-genes,highlighting their functions,signaling pathways,and candidate drugs for the treatment of GC *** used publicly available next generation sequencing(NGS)data to identify differentially expressed(DE)*** top DE genes were mapped to STRING database to construct the protein-protein interaction(PPI)network and top hub genes were selected for further *** found a total of 1555 DE genes with 870 upregulated and 685 downregulated genes in *** selected the top 400(200 upregulated and 200 downregulated)genes to construct a PPI network and extracted the top 15 hub *** gene ontology(GO)term and kyoto encyclopedia of genes and genomes(KEGG)pathway enrichment analyses of the 15 hub genes exposed some important functions and signaling pathways that were significantly associated with GC *** survival analysis of the hub genes disclosed that the lower expressions of the three hub genes CDH2,COL4A1,and COL5A2 were associated with better survival of GC *** three genes might be the candidate biomarkers for the diagnosis and treatment of ***,we considered 3 key proteins(genomic biomarkers)(COL4A1,CDH2,and CO5A2)as the drug target proteins(receptors),performed their docking analysis with the 102 meta-drug agents,and found Everolimus,Docetaxel,Lanreotide,Venetoclax,Temsirolimus,and Nilotinib as the top ranked 6 candidate drugs with respect to our proposed target proteins for the treatment against GC ***,the proposed drugs might play vital role for the treatment against GC patients.

关键词： gastric cancer hub genes candidate genes molecular docking candidate drugs

来源：评论

学校读者我要写书评

暂无评论

An Objective Synoptic analysis Technique for the Identification of Tropical Cyclone Remote Precipitation in China and Its Application

引用

Journal of Ocean University of China 2025年第1期24卷 13-30页

作者： JIA Li DING Chenchen CONG Chunhua REN Fumin LIU Yanan School of Atmospheric Science Nanjing University of Information Science and TechnologyNanjing 210044China State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesBeijing 100081China Public Meteorological Service Center of CMA Beijing 100081China Shandong Meteorological Bureau Jinan 250031China Laboratory of Cloud-Precipitation Physics and Severe Storms(LACS) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China

At present,the identification of tropical cyclone remote precipitation(TRP)requires subjective participation,leading to inconsistent results among different researchers despite adopting the same identification ***,establishing an objective identification method is greatly *** this study,an objective synoptic analysis technique for TRP(OSAT_TRP)is proposed to identify TRP using daily precipitation datasets,historical tropical cyclone(TC)track data,and the ERA5 reanalysis *** method includes three steps:first,independent rain belts are separated,and those that might relate to TCs'remote effects are distinguished according to their distance from the ***,the strong water vapor transport belt from the TC is identified using integrated horizontal water vapor transport(IVT).Third,TRP is distinguished by connecting the first two *** TRP obtained through this method can satisfy three criteria,as follows:1)the precipitation occurs outside the circulation of TCs,2)the precipitation is affected by TCs,and 3)a gap exists between the TRP and TC rain *** diagnosis analysis,compared with subjective TRP results and backward trajectory analyses using HYSPLIT,indicates that OSAT_TRP can distinguish TRP even when multiple TCs in the Northwest Pacific are ***,we applied the OSAT_TRP to select typical TRPs and obtained the synoptic-scale environments of the TRP through composite analysis.

关键词： tropical cyclone remote precipitation objective identification method

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：